adaptyv
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
Skill by leecyno1
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/leecyno1-adaptyv
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: design, backend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
adaptyv- Description
- How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.
- License
- MIT
- Compatibility
- Requires Python 3.10+, an Adaptyv Foundry account, and an API key from foundry.adaptyvbio.com. Install adaptyv-sdk from GitHub with uv pip install.
- Metadata
- version: 1.2 · skill-author: K-Dense Inc.
- Instructions
- 232 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (3)
- SKILL.md
- SOURCE.txt
- api-endpoints.md · references/
SKILL.md (first lines)
# Adaptyv Bio Foundry API
Adaptyv Bio is a cloud lab that turns protein sequences into experimental data. Users submit amino acid sequences via API or UI; Adaptyv's automated lab runs assays (binding, thermostability, expression, fluorescence) and delivers results in ~21 days.
**Official docs:** [docs.adaptyvbio.com/api-reference](https://docs.adaptyvbio.com/api-reference) · [llms.txt index](https://docs.adaptyvbio.com/llms.txt) · [OpenAPI spec](https://foundry-api-public.adaptyvbio.com/api/v1/openapi.json)
## Quick Start
**Base URL:** `https://foundry-api-public.adaptyvbio.com/api/v1`
**Authentication:** Bearer token in the `Authorization` header. Tokens are obtained from [foundry.adaptyvbio.com](https://foundry.adaptyvbio.com/) sidebar.
When writing code, always read the API key from the environment variable `ADAPTYV_API_KEY` or from a `.env` file — never hardcode tokens. Check for a `.env` file in the project root first; if one exists, use a library like `python-dotenv` to load it.
The [official API docs](https://docs.adaptyvbio.com/api-reference/api-introduction) use `FOUNDRY_API_TOKEN` in curl examples; that is the same bearer token — prefer `ADAPTYV_API_KEY` in Python and new shell scripts for consistency with the SDK.
```bash
export ADAPTYV_API_KEY="abs0_..."
curl https://foundry-api-public.adaptyvbio.com/api/v1/targets?limit=3 \
-H "Authorization: Bearer $ADAPTYV_API_KEY"
```
Every request except `GET /openapi.json` requires authentication. Store tokens in environment variables or `.env` files — never commit them to source control.
## Python SDK
**Version note:** `adaptyv-sdk` **0.1.0** (beta) is not yet on PyPI — install from GitHub:
```bash
uv pip install "git+https://github.com/adaptyvbio/adaptyv-sdk.git"
```
In a project with `pyproject.toml`:
```bash
uv add "adaptyv-sdk @ git+https://github.com/adaptyvbio/adaptyv-sdk.git"
```
**Environment variables** (set in shell or `.env` file):
```bash
ADAPTYV_API_KEY=your_api_key
ADAPTYV_API_URL=https://foundry-api-public.adaptyvbio.com/api/v1
ADAPTYV_ORGANIZATION_ID=your_org_id # optional
```
The `@lab.experiment` decorator and `FoundryClient` both read `ADAPTYV_API_KEY` and `ADAPTYV_API_URL` from the environment when not passed explicitly.
### Decorator Pattern
```python
from adaptyv import lab
@lab.experiment(target="PD-L1", experiment_type="screening", method="bli")
def design_binders():
return {"design_a": "MVKVGVNG...", "design_b": "MKVLVAG..."}
result = design_binders()
print(f"Experiment: {result.experiment_url}")
```
### Client Pattern
```python
import os
from adaptyv import FoundryClient
client = FoundryClient(
api_key=os.environ["ADAPTYV_API_KEY"],
base_url=os.environ.get(
"ADAPTYV_API_URL",
"https://foundry-api-public.adaptyvbio.com/api/v1",
),
)
# Browse targets
targets = client.targets.list(search="EGFR", selfservice_only=True)
# Estimate cost
estimate = client.experiments.cost_estimate({
"experiment_spec": {
"experiment_type": "screening",
"method": "bli",
"target_id": "target-uuid",
"sequences": {"seq1": "EVQLVESGGGLVQ..."},
"n_replicates": 3
}
})
# Create and submit
exp = client.experiments.create({...})
client.experiments.submit(exp.experiment_id)
# Later: retrieve results
results = client.experiments.get_results(exp.experiment_id)
```
## Experiment Types
| Type | Method | Measures | Requires Target |
|---|---|---|---|
| `affinity` | `bli` or `spr` | KD, kon, koff kinetics | Yes |
| `screening` | `bli` or `spr` | Yes/no binding | Yes |
| `thermostability` | — | Melting temperature (Tm) | No |
| `expression` | — | Expression yield | No |
| `fluorescence` | — | Fluorescence intensity | No |
## Experiment Lifecycle
```
Draft → WaitingForConfirmation → QuoteSent → WaitingForMaterials → InQueue → InProduction → DataAnalysis → InReview → Done
```
| Status | Who Acts | Description |
|---|---|---|
| `Draft` | You | Editable, no cost commitment |
| `WaitingForConfirmation` | Adaptyv | Under review, quote being prepared |
| `QuoteSent` | You | Review and confirm the quote |
| `WaitingForMaterials` | Adaptyv | Gene fragments and target ordered |From leecyno1/boutique-skills, MIT.
More from leecyno1/boutique-skills
- 0.587score
agent-reach
leecyno1
MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g.
SkillBFreshness: B★ 6Claude Code +9 - 0.573score
a-stock-data
leecyno1
当任务需要写代码实际获取A股数据时使用——拉取行情/K线(mootdx+腾讯+百度)、研报(东财+同花顺+iwencai)、信号(热点/北向/龙虎榜/解禁/行业)、资金面(融资融券/大宗/股东户数/分红/资金流)、新闻、财务三表/F10、公告(巨潮)、打板(涨停池/连板/炸板率/重点监控池/日内异动)、ETF期权(T…
SkillBFreshness: B★ 6Claude Code +9 - 0.537score
agentmail
leecyno1
Give AI agents their own email inboxes using the AgentMail API.
SkillCFreshness: C★ 6Claude Code +9 - 0.537score
agent-browser
leecyno1
Headless browser automation CLI for AI agents.
SkillCFreshness: C★ 6Claude Code +9 - 0.537score
agent-builder
leecyno1
Build high-performing OpenClaw agents end-to-end.
SkillCFreshness: C★ 6Claude Code +9 - 0.532score
agentmail-mcp
leecyno1
AgentMail MCP server for email tools in AI assistants.
SkillCFreshness: C★ 6Claude Code +9 - 0.532score
agentmail-toolkit
leecyno1
Add email capabilities to AI agents using popular frameworks.
SkillCFreshness: C★ 6Claude Code +9 - 0.527score
agentmail
leecyno1
Send and receive emails programmatically using the AgentMail API via CLI
SkillCFreshness: C★ 6Claude Code +9
Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 22, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.2
- License
- MIT
- Repository
- github.com/leecyno1/boutique-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.556score
adaptyv
LUNARTECH-X
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillCFreshness: C★ 17Claude Code +9 - 0.355score
adaptyv
raktim-mondol
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillAFreshness: A★ 1Claude Code +9 - 0.355score
adaptyv
ccfwwm
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillAFreshness: A★ 1Claude Code +9 - 0.344score
adaptyv
raktim-mondol
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillBFreshness: B★ 4Claude Code +9 - 0.330score
adaptyv
tassiovale
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillCFreshness: C★ 12Claude Code +9 - 0.320score
adaptyv
shushuzn
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillCFreshness: C★ 5Claude Code +9 - 0.318score
adaptyv
nikhilesh-s
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillBFreshness: BClaude Code +9 - 0.318score
adaptyv
Masterofowls
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillBFreshness: BClaude Code +9 - 0.307score
adaptyv
Lord1Egypt
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillCFreshness: C★ 2Claude Code +9 - 0.288score
adaptyv
PROgram52bc
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
SkillCFreshness: CClaude Code +9
More from leecyno1
- 0.587score
agent-reach
leecyno1
MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g.
SkillBFreshness: B★ 6Claude Code +9 - 0.584score
dasheng-stage-publish-video
leecyno1
Use when entering publish stage and needing the mandatory pre-publish video supplement, including interactive chart videos and motion narrative videos with…
SkillBFreshness: B★ 5Claude Code +9 - 0.584score
dasheng-sop-orchestrator
leecyno1
Use when running, resuming, or auditing the full Dasheng 8-stage media workflow with strict stage contracts and delivery outputs.
SkillBFreshness: B★ 5Claude Code +9 - 0.584score
dasheng-account-illustrations
leecyno1
Use when a WeChat article or video needs account-bound concept illustrations.
SkillBFreshness: B★ 5Claude Code +9 - 0.584score
dasheng-stage-distribute
leecyno1
Use when entering the distribute stage to publish rewritten content and videos across WeChat, Xiaohongshu, Douyin, Weibo, and X platforms using existing…
SkillBFreshness: B★ 5Claude Code +9 - 0.584score
dasheng-stage-rewrite
leecyno1
Use when generating the 4-variant rewrite set per topic with hard word-count validation, final-structure inheritance, and optional personal style DNA injection.
SkillBFreshness: B★ 5Claude Code +9
Cite this page
adaptyv skill. Agent Mart. https://agentmart.dev/skills/leecyno1-adaptyv (last updated 2026-10-24)